ICT initiatives @UM

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University of Malaya 1 ICT Initiatives at University of Malaya Dr. David Asirvatham Director of IT Centre University of Malaya Kuala Lumpur Email: [email protected]

Transcript of ICT initiatives @UM

Page 1: ICT initiatives @UM

University of Malaya 1

ICT Initiatives at

University of Malaya

Dr. David Asirvatham

Director of IT Centre

University of Malaya

Kuala Lumpur

Email: [email protected]

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University of Malaya

Singapore

(April 1949)

University of Singapore

(later known as National

University of Singapore)

UNIVERSITY OF MALAYA

KUALA LUMPUR

Raffles College

Singapore

(1928)

King Edward Vii College

Of Medicine, Singapore

(1905) 1 January 1962

Introduction to University of Malaya

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• Located in Kuala Lumpur

• 428 blocks building

• 922 acres

• ~ 27,000 students

Introduction of UMIntroduction to University of Malaya

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Total 27,000

Undergraduates 13,000

Postgraduates 12,000

International 3,000

Student Population

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Total 6,000

Academic 2,500

Non-Academic 3,500

Staff Population

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Network Infrastructure

6

No Description

1 Access Points 1800

2 No of Devices connected during peak (WiFi)

20,000

3 Internet Access Speed

5 Gbps

4 Intranet Backbone 40 Gbps, 10 Gbps &

1 Gbps

5 PC 8,000

6 Data Points 10,000

7 Switches 900

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• Total Servers: 280 Servers

• Physical servers: 150

• Virtual Servers: 130

• Network Attached Storage (NAS): Usage: 30 TB

• Central Backup System

• Data Centre Network Switches, LB, Firewall, etc.

Data Centre Facilities

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Review

UM Campus Network Development

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Aging network equipment &End of Support

Outdated network design &Network architecture

bottleneck

Network management Difficulties

No visual network overview

Old Network Design

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Seksyen RangkaianOld Network Design

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Old Network Design

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Year 2008, Campus Wireless (1000 AP, 54Mbps)

Old Wireless Design

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University of Malaya

ICT Strategic Plan2015 - 2017

Master Plan

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Master Plan & Strategies

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ICT Framework for UM

Enterprise Platform

Network Infrastructure

(Leased Lines, Gigabit Ethernet, Security, SAN storage,, etc.)

Uni

DB

Uni

DB

Uni

DB

Uni

DB

UM

Sta

nd

ard

s

(Po

licie

s, G

uid

elin

es, S

pecific

atio

ns, X

ML

Sta

nd

ard

s, e

tc)

Uni

DB

MOHE

Use

rsP

rese

nta

tio

n

Ap

plic

atio

nP

latfo

rmD

ata

ba

s

e

Infra

Presentation Layer

(Browser-based, client-server, SMS, PDA, 3G, etc.)

Uni

DB

Digital Library System

Smart Card System

R & D Information

System

e-Learning System

e-Academics

Human Resource

Information System

Inventory/ Asset

Management System

Financial System

e-Procurement

System

Staff Information

System

Scholarship/ Loan System

Student Information

System

Document Management

System

e-Governance

Student Staff Administr

ators

Others

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Year 2013, 40G Resiliency Cloud Backbone Upgrade

New Network Design

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Year 2014, Student Residential Wireless Upgrade (802.1ac)

VALUE: To improve wireless service for student

New Wireless Project

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• Upgrade all aging network switches (access & distribution) – On going

• Upgrade Internet bandwidth to 5Gbps -Done

• Improve Internet Security with new IPS – On going

• Improve Internet bandwidth usage management with Ruijie 10G ACE (Bandwidth Manager) - Done

Current Network Status

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Ruijie & UM’s Journey

toward

Service Oriented Campus

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• New Architecture Design for future expansion

• High Performance price value• Reliable & High Availability with VSU

(No single point of failure)• Better Network Protection

• Centralized Network Management with SNC

• Centralized Services Monitoring with RIIL

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1G Port1G Port

Link 1-2Link 3-4 Link 1-2

Link 3-4

SW 1Convergence Timer

milliseconds

1 - 4

VSL

SW 2

VSU 3.0

XSwitch Failure

AP AP

Redundancy in Core Network

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Visualisation of UM Key ICT services

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RIIL helps to visualize UM Key ICT services

Visualisation of UM Key ICT services

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SNC helps monitor and troubleshootingVisualisation of UM Key ICT services

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SNC helps monitor and troubleshootingVisualisation of UM Key ICT services

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SNC helps monitor and troubleshootingVisualisation of UM Key ICT services

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Alerts for quick actions

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Better architecture design and built-in network protection Helps to prevent many common network attacks issues

Network Security

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Project Implementation

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Project Implementation

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Project Implementation

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2013: Cloud Campus Network Forum

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2013: Cloud Campus Network Forum

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Current Situation

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10 Years Ago 5 Years Ago Now

Several Hundreds Thousands

Paperless office

ERP/OA/SAP

“Cloud”/BYOD/ Big Data

Scale of IT(Networks)

IT Application

Future

Few Some Limited ?IT Staffs(Resources)

High Demand, Complex Network, Limited resources

Applications are getting complex & high volume

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How to improve these

situations ?

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UM toward Service Oriented Campus

Simplify the complex operations

Focus on Service & Value

* Based on the Gartner IT Maturity Model

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Future Plan

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1. Full campus wireless coverage

2. Unified authentication for wired & wireless

3. Improved intranet & internet service quality

4. Improve operation & maintenance efficiency

5. Featured rich Mobile Apps for campus user

Future Plan

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2016: New Data Centre

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Internet Billing and Utilisation

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Big Data Initiatives @ UM

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Big Data Initiatives @ UM (Phase I)

Log files

are

collected

from

various

source

Structured

data are

collected

from

various DB

Central Log

Server

DB Staging

Server

Cloudera

Manager

Hadoop

Node 1

Hadoop

Node 2

Hadoop

Node 3

Hadoop

Node 4

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UM Hadoop Cluster

cloudera-node1

•192.168.112.161

•Data Node

•Task Tracker

cloudera-node2

•192.168.112.162

•Data Node

•Task Tracker

cloudera-node3

•192.168.112.163

•Data Node

•Task Tracker

cloudera-node4

•192.168.112.166

•Data Node

•Task Tracker

cloudera-node5

•192.168.112.165

•Data Node

•Task Tracker

cloudera-master

• 103.x.X.X

•Name Node

•Data Node

• Job Tracker

• Task Tracker•Central Services (Hive, Hue,…)

44

UM

Hadoop P

roje

ct

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Flume for Server Logs

Web Servers

UM Hadoop Cluster

Flume

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Hadoop Cluster

• Cluster Configuration

• 1 NameNode

• 5 DataNodes

• High-Risk without Secondary NameNode

• Data Ingestion

• Flume Agents

• MapReduce Job to Ingest data

• Total Storage

• 6 TB ( ~ 1 Month of Log Data)

• Data is replicated 3 times to ensure fault-tolerance

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Overall StatusU

M H

adoop P

roje

ct

47

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HostsU

M H

adoop P

roje

ct

48

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Structured data : Sample Analytic Generated from Student Info System

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Structured data : Sample Analytic Generated from Student Info System

Significant

increase in

admission

via

Matriculations

Programmes

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Structured data : Sample Analytic Generated from Student Info System

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For Big Data Analytics, there is a

need for a resilient and excellent

Network environment

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Again,

We work together with

Ruijie towards

service oriented campus

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Ruijie-UM

showcase in

APAN

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Live demo…

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THANK [email protected]